Digital Biology University of Manchester

The Digital Biology pathway at University of Manchester is centered around two themes, one based around applications in healthcare, the other on applications in biological sciences. They are specifically designed for computer scientists without any previous experience of medicine or biology.They will help you to develop the core skills needed to work or research (as a computer scientist) in these new areas. These two core themes are complemented with a range of other themes that allow students to develop additional skills which have important applications in healthcare and biology.

Kontakte Website

  • MSc
  • Englisch
  • Vollzeit

These are exciting times in biology and medicine. The genomics revolution is opening up whole new areas of research - from new insights into how organisms function, to new understandings of disease and disease processes. Medicine is currently involved in the largest and most ambitious IT project in the world - the capture and interpretation of electronic patient records. This information will make health care much more effective and can help spot new diseases early - whilst they can still be contained and controlled. At the heart of all these developments are data and knowledge - and a real need and demand for the skills and techniques that computer scientists can bring these problem areas. Biology and healthcare now provide some of the fastest growing and most challenging areas for computer scientists to apply their skills.

The Digital Biology pathway at University of Manchester  is centered around a central theme of Biohealth Informatics. The theme is specifically designed for computer scientists without any previous experience of medicine or biology and will help you to develop the core skills needed to work or research (as a computer scientist) in these rapidly evolving fields. This core theme is complemented by a range of other themes that allow students to develop additional skills which have important applications in healthcare and biology.

Endgültigkeit

Students following the Digital Biology pathway have all the career options as described for general Advanced Computer Science.

In addition, students following this pathway are well placed for careers with healthcare providers, the pharmaceutical industry, and bio-health research institutes.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry. This is managed by our Employability Tutor; see the Department of Computer Science's employability pages for more information.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Course unit list

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

Kosten für den Master: Nicht bekannt gegeben
Fordern Sie weitere Informationen:
University of Manchester

        Digital Biology

              Puoi anche scrivere un messaggio:

                * erforderliche Felder
                Privacy
                  • Andere Ausgaben
                  • Manchester - Vereinigtes Königreich
                  Why Study in the Faculty of Medical and Human Sciences at the University of Manchester?

                  Why Study in the Faculty of Medical and Human Sciences at the University of Manchester?

                  Social stream

                  Provenienz Studenten weltweit:
                  Detail der Herkunft:
                  Europa
                  100%
                  %
                  %
                  %
                  %
                  Italien
                  100%
                  %
                  %
                  %
                  %
                  Geschlecht:
                  35%
                  65%
                  Berufserfahrung:
                  JA 85%
                  NICHT 15%
                  Alter der Teilnehmer:
                  • Unter 25

                    15%
                  • 26 - 30

                    30%
                  • 31 - 35

                    20%
                  • Mehr als 35

                    35%
                  Gesamt:
                  575
                  Ausländer:
                  5%
                  Beruf Lehre Mitarbeiter:
                  75%
                  Akademiker
                  15%
                  Forscher/Leser/Gastprofessorin
                  5%
                  Berater/Freelancer
                  5%
                  Manager
                  * Die Daten könnten zur Schule und nicht den Master bezogen werden